Evidence map›Paper›PMID 39466497›Full record

ArticleThe international journal of cardiovascular imaging2024

Pericardial adhesion and performance of hemodynamically significant constrictive pericarditis using cine magnetic resonance feature tracking.

Yasutoshi Ohta, Midori Fukuyama, Yoshiaki Morita, Tatsuya Nishii, Emi Tateishi, Akiyuki Kotoku, Hiroki Horinouchi, Tetsuya Fukuda

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Article in The international journal of cardiovascular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

8 authors.

Yasutoshi OhtaDepartment of Radiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-shinmachi, Suita City, Osaka, 564-8565, Japan. ohtayasu@gmail.com.ORCID http://orcid.org/0000-0001-8286-0271
Midori FukuyamaDepartment of Radiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-shinmachi, Suita City, Osaka, 564-8565, Japan.
Yoshiaki MoritaDepartment of Radiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-shinmachi, Suita City, Osaka, 564-8565, Japan.
Tatsuya NishiiDepartment of Radiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-shinmachi, Suita City, Osaka, 564-8565, Japan.
Emi TateishiDepartment of Radiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-shinmachi, Suita City, Osaka, 564-8565, Japan.
Akiyuki KotokuDepartment of Radiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-shinmachi, Suita City, Osaka, 564-8565, Japan.
Hiroki HorinouchiDepartment of Radiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-shinmachi, Suita City, Osaka, 564-8565, Japan.
Tetsuya FukudaDepartment of Radiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-shinmachi, Suita City, Osaka, 564-8565, Japan.

Funding

Japan Society for the Promotion of Science 22K15835
6 · The paper itself

Abstract

To investigate the diagnostic performance of cine magnetic resonance feature tracking (FT) for pericardial adhesions and hemodynamically significant constrictive pericarditis (CP). This retrospective study included patients who underwent cardiac magnetic resonance (CMR) imaging between 2011 and 2021. Twenty-four patients (median age, 73 years; seven females) suspected of having CP and undergoing CMR were selected (CP group). Age-matched 24 participants with heart failure (HF) and 24 healthy volunteers were also analyzed. The FT method assessed septal bounce, the presence of a dip or plateau pattern, and pericardial adhesions. The diagnostic performance, including the area under the receiver operating characteristic curve (AUC) for hemodynamically significant CP, was evaluated against catheterization results, and the adhesion detection in the combined CP and HF control was based on cine tagging or surgical records. Septal bounce was detected in 54% (13/24) of the patients by FT and 38% (9/24) of the patients by visual evaluation in the CP group but not in the HF or normal group (p < 0.001). To detect hemodynamically significant CP, the sensitivity and specificity of each finding were as follows: septal bounce, 85% (11/13) and 82% (9/11); adhesion, 100% (13/13) and 9% (1/11); dip, 77% (10/13) and 36% (4/11); and plateau, 69% (9/13) and 46% (5/11), respectively. The sensitivity and specificity of pericardial adhesion detection using FT and visual evaluation were 96% (23/24) and 100% (24/24), respectively, and the AUCs were 0.998 and 0.999, respectively. CMR-FT demonstrates high sensitivity and specificity for diagnosing hemodynamically significant CP and pericardial adhesions.

Indexed as

HemodynamicsMagnetic Resonance Imaging, CinePericarditis, ConstrictivePericardiumPredictive Value of TestsAgedAged, 80 and overFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesTissue AdhesionsCardiacFeature trackingMRIPericarditis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.